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International Journal of Computational Science and Engineering Research
Volume 1, Issue 3 (July - September)
Article type: Original Article
Published: 22 September 2026 |Pages: 6 - 8 |ISSN: 3107 - 8605
https://doi.org/10.63328/IJCSER-V1RI3P2
Copyright © 2024 R Nivedha et al.
International Journal of Computational Science and Engineering Research
Open Access publication.

Customer Profiling Method for Hi-Tech Trading Apps

R NivedhaiD1, P SaalimiD2, T NaveeniD3, S NoorshavalliiD4, and Y Uday KiraniD5

Abstract

Electronic trade, or Web based business, is directing business over the Web. Typically it alludes to trading labor and products, and moving assets carefully. There are many advantages to Electronic trade business, not the least of which is decreased exchange costs. When disconnected stores work out exchange costs, they need to consider incalculable business uses alongside the real number of exchanges. At the point when there are less exchanges, the expense of per exchange is higher. Then again, exchanges showing up in high amount can overpower your work force and wholesalers. In an Electronic trade business, the exchange cost is similar no matter how you look at it, whether one request or thousands come in. Electronic selling almost takes out handling mistakes that spin out of control with human processors. This converts into less sat around taking care of request and receipt issues. Despite the fact that errors don't bring about expenses or punishments, they in all actuality do occupy significant representative investment. Electronic trade opens up staff individuals to zero in on benefit creating exercises. Electronic Trade can work on the most common way of purchasing/selling. Correspondence happens exceptionally quick assuming business occurs over Web. Both the purchaser and dealer get helped utilizing Electronic Trade.

Keywords: Transaction Cost, Process improvements, Product improvements

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How to cite this article

R Nivedha , P Saalim , T Naveen , S Noorshavalli , Y Uday Kiran ,“ Customer Profiling Method for Hi-Tech Trading Apps “, International Journal of Computational Sciences and Engineering Research (IJCSER) , Volume 1, Issue 3 , pp 6-8, July 2024. CrossRef DOI: https://doi.org/10.63328/ijcser-v1ri3p2